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» Representing Process Variation with a Process Family
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IJCNLP
2004
Springer
15 years 5 months ago
A Collaborative Ability Measurement for Co-training
This paper explores collaborative ability of co-training algorithm. We propose a new measurement (CA) for representing the collaborative ability of co-training classifiers based o...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
100
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ICNP
1998
IEEE
15 years 4 months ago
Evaluating the Overheads of Source-Directed Quality-of-Service Routing
Quality-of-service (QoS) routing satisfiesapplication performance requirements and optimizes network resource usage but effective path-selection schemes require the distribution o...
Anees Shaikh, Jennifer Rexford, Kang G. Shin
NCI
2004
188views Neural Networks» more  NCI 2004»
15 years 1 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
CVPR
2011
IEEE
14 years 3 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
CIBCB
2007
IEEE
15 years 6 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...